GameObject Breed(GameObject parent1, GameObject parent2)
{
GameObject offspring = CreateNewBot();
MovementBrain brain = offspring.GetComponent <MovementBrain>();
if (Random.Range(0, 100) == 1)
{
brain.Init();
brain.dna.Mutate();
}
else
{
brain.Init();
brain.dna.Combine(parent1.GetComponent <MovementBrain>().dna, parent2.GetComponent <MovementBrain>().dna);
}
return(offspring);
}
public void NextGeneration()
{
StopCoroutine("WaitTillNext");
generation++;
float[][] newPop = new float[populationSize][];
List <MovementBrain> probPool = CreatePool();
for (int i = 0; i < populationSize; i++)
{
MovementBrain parent1 = probPool[Random.Range(0, probPool.Count)];
MovementBrain parent2 = probPool[Random.Range(0, probPool.Count)];
float[] gene = new float[numOfWB];
Debug.Log(numOfWB);
for (int j = 0; j < numOfWB; j++)
{
if (Random.Range(0f, 1f) < mutationRate)
{
gene[j] = Random.Range(parent1.minNum, parent1.maxNum);
}
else
{
if (Random.Range(0, 2) == 1)
{
gene[j] = parent1.WandB[j];
}
else
{
gene[j] = parent2.WandB[j];
}
}
}
newPop[i] = gene;
}
for (int i = 0; i < populationSize; i++)
{
population[i].RemoveFromScene();
GameObject ball = (GameObject)Instantiate(redBall, transform.position, Quaternion.identity, ballParent);
population[i] = ball.GetComponent <MovementBrain>();
population[i].SetWeightsandBiases(newPop[i]);
population[i].ComputeOutput();
}
StartCoroutine("WaitTillNext");
}
